CookGAN: Meal Image Synthesis from Ingredients
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[1] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[2] Ori Bar El,et al. GILT: Generating Images from Long Text , 2019, ArXiv.
[3] Matthieu Cord,et al. Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings , 2018, SIGIR.
[4] Honghao Gao,et al. A Food Dish Image Generation Framework Based on Progressive Growing GANs , 2019, CollaborateCom.
[5] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[6] Wataru Shimoda,et al. Food category transfer with conditional cycleGAN and a large-scale food image dataset , 2018, MADiMa@IJCAI.
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[9] Saeed Al-Bukhitan,et al. Health, Food and User's Profile Ontologies for Personalized Information Retrieval , 2015, ANT/SEIT.
[10] Chong-Wah Ngo,et al. Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval , 2018, ACM Multimedia.
[11] Jonathon Shlens,et al. Conditional Image Synthesis with Auxiliary Classifier GANs , 2016, ICML.
[12] Xiaogang Wang,et al. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Beatriz Remeseiro,et al. Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants , 2018, IEEE Transactions on Multimedia.
[14] Bernt Schiele,et al. Generative Adversarial Text to Image Synthesis , 2016, ICML.
[15] Amaia Salvador,et al. Learning Cross-Modal Embeddings for Cooking Recipes and Food Images , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] B J Culliton,et al. Health. , 1974, Science.
[17] Dimitris N. Metaxas,et al. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Takeru Miyato,et al. cGANs with Projection Discriminator , 2018, ICLR.
[19] Ramesh C. Jain,et al. A Survey on Food Computing , 2018, ACM Comput. Surv..
[20] Chong-Wah Ngo,et al. R²GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Gian Luca Foresti,et al. Wide-Slice Residual Networks for Food Recognition , 2016, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[22] Steven C. H. Hoi,et al. Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Matthieu Cord,et al. Recipe recognition with large multimodal food dataset , 2015, 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).
[24] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[25] Albert-László Barabási,et al. Flavor network and the principles of food pairing , 2011, Scientific reports.
[26] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[27] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Antonio Torralba,et al. How to Make a Pizza: Learning a Compositional Layer-Based GAN Model , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Lada A. Adamic,et al. Recipe recommendation using ingredient networks , 2011, WebSci '12.
[30] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.